Company Overview
Job Description/Preferred Qualifications
Core Responsibilities
1. Design, tune, and evaluate deep learning architectures (e.g., U-Nets, YOLO variants).
2. Explore new modelling approaches and conduct comparative experiments for new challenges
3. Lead data purification efforts: filtering, augmentation, and dataset optimization, have in mind transfer learning.
4. Define success metrics and analyze model performance across tasks.
5. Present findings clearly through visualizations, reports, and internal reviews.
6. Collaborate on deployment strategy by identifying the best algorithmic solutions for real-world constraints.
Minimum Qualifications
Qualifications/Requirements:
Required: Phd with 5 years of experience or MS/MTech degree with 8 or more years of Algorithm development experience.
Required: Strong background in deep learning and computer vision.
Required: Hands-on experience with PyTorch and model training workflows.
Required: Ability to communicate complex ideas clearly and lead technical discussions.
Preferred: Experience with experiment tracking tools (e.g., TensorBoard, W&B).
Preferred: Familiarity with cross-platform development and system integration.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

